Artificial Intelligence
Earlier this month in Brooklyn, HIMSS informatics leader Rob Havasy joined us for a discussion about the excitement and challenges he sees as health systems scale up their adoption and deployment of new AI tools.
According to Cátia Sousa Pinto and Tapani Piha, the HIMSS Digital Health Advisory Group for Europe urged governments to implement healthcare AI ethically by creating strong governance frameworks and building workforce capacity.
"Even if these systems are right 80% of the time, that still means they're wrong 20% of the time," says tech CMO Dr. Jay Anders, who describes the risks of artificial intelligence errors and outlines some protection strategies for providers.
Jason Smith, venture fellow at MATTER, says making smart picks and achieving ROI requires careful study to discern signal from noise.
"A use case is generating an appeal letter – a domain change is reimagining revenue cycle management," explains Jessica Lamb, a partner at McKinsey & Company. She offers a primer on the rising technology.
Nearly 40% of participating healthcare organizations reported that most of their infrastructure is on premises, but accelerating cloud migration is a top priority over the next 12 to 24 months – perhaps second only to cybersecurity.
Generative AI is enabling a "revolution" in automated decision support and helping physicians make better diagnoses for complex cases, says Dr. Ryan Sadeghian, chief medical information officer at University of Toledo.
Zhongshan Hospital is piloting the use of the metaverse and generative AI in their workflows.
Health IT experts and leaders discussed strategies to adopt and scale AI responsibly at HIMSS25 APAC.
Its AI advisory group is also reviewing several other similar tools.